Results 181 to 190 of about 2,535,602 (380)

The parieto-occipital cortex is a candidate neural substrate for the human ability to approximate Bayesian inference

Communications Biology
Adaptive decision-making often requires one to infer unobservable states based on incomplete information. Bayesian logic prescribes that individuals should do so by estimating the posterior probability by integrating the prior probability with new ...
Nicholas M. Singletary, Jacqueline Gottlieb, Guillermo Horga   +2 more
doaj   +1 more source

More Accurate Student Modeling through Contextual Estimation of Slip and Guess Probabilities in Bayesian Knowledge Tracing [PDF]

, 2008
Ryan S. Baker, Albert T. Corbett, Vincent Aleven   +2 more
openalex   +1 more source

Misclassification excess risk bounds for PAC-Bayesian classification via convexified loss [PDF]

arXiv
PAC-Bayesian bounds have proven to be a valuable tool for deriving generalization bounds and for designing new learning algorithms in machine learning. However, it typically focus on providing generalization bounds with respect to a chosen loss function.
arxiv  

Multi‐Distance Spatial‐Temporal Graph Neural Network for Anomaly Detection in Blockchain Transactions

Advanced Intelligent Systems, EarlyView.
This paper presents a novel Multi‐Distance Spatial‐Temporal Graph Neural Network for detecting anomalies in blockchain transactions. The model combines multi‐distance graph convolutions with adaptive temporal modeling to capture complex patterns in anonymized cryptocurrency networks.
Shiyang Chen, Yang Liu, Qun Zhang, Zhouhang Shao, Zewei Wang   +4 more
wiley   +1 more source

On conditional probability and bayesian inference

, 2020
Measurement theory has dealt with the applicability of the conditional probability formula to the updating of probability assignments when new information is incorporated. In this paper the original probability measure is taken as given, and an assumption on the relation between this probability and a possible conditional probability is imposed ...
openaire   +1 more source

Bayesian probability of predictive agreement for comparing the outcome of two separate regressions

Quality and Reliability Engineering International, 2018
Nathaniel T. Stevens, S. Rigdon, C. Anderson‐Cook   +2 more
semanticscholar   +1 more source

Sparse Functional Data Classification via Bayesian Aggregation [PDF]

arXiv
Sparse functional data frequently arise in real-world applications, posing significant challenges for accurate classification. To address this, we propose a novel classification method that integrates functional principal component analysis (FPCA) with Bayesian aggregation.
arxiv  

Applied Artificial Intelligence in Materials Science and Material Design

Advanced Intelligent Systems, EarlyView.
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel, Martin Børstad Eriksen, Alejandro Castro‐Alvarez, Jose H. Garcia, Marc Botifoll, Oscar Avalos‐Ovando, Jordi Arbiol, Aitor Mugarza   +7 more
wiley   +1 more source

Bayesian probability of paternity when mother or putative father are not tested: formulas for manual computation [PDF]

, 2009
J. Valentin
openalex   +1 more source

Confidence as Bayesian Probability: From Neural Origins to Behavior

Neuron, 2015
Florent Meyniel, M. Sigman, Z. Mainen
semanticscholar   +1 more source